title: Object detection and tracking with active camera on motion vectors of feature points and particle filter.
abstract: A method based on motion vectors of feature points and particle filter has been proposed and developed for an active∕moving camera for object detection and tracking purposes. The object is detected by histogram of motion vectors first, and then, on the basis of particle filter algorithm, the weighing factors are obtained via color information. In addition, re-sampling strategy and surf feature points are used to remedy the drawback of particle degeneration. Experimental results demonstrate the practicability and accuracy of the new method and are presented in the paper.
authors.affiliation: School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. ychencd@uestc.edu.cn
authors.forename: Yong
authors.initials: Y
authors.lastname: Chen
authors.forename: Rong-Hua
authors.initials: RH
authors.lastname: Zhang
authors.forename: Lei
authors.initials: L
authors.lastname: Shang
authors.forename: Eric
authors.initials: E
authors.lastname: Hu